Higher education institutions are under growing pressure to turn data into a strategic asset, but most remain constrained by fragmented systems, inconsistent definitions and limited trust in analytics. With AI adoption accelerating and demands for re...
Higher education institutions are under growing pressure to turn data into a strategic asset, but most remain constrained by fragmented systems, inconsistent definitions and limited trust in analytics. With AI adoption accelerating and demands for real-time insight increasing, IT teams are emerging as the critical drivers of a more unified, data-centric model. However, building that model requires more than new tools, depending also on aligning architecture, governance and access in ways that allow institutions to move faster without increasing risk. Identifying Silos and Blind Spots Siloed…
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EdTech Magazine — Higher Ed (EN)